New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Numba 0.50.1 downloaded from conda fails to compile on GPU (but works when using pip) #5968
Comments
Thanks for the report, I can reproduce. From the error I think the Anaconda llvmdev builds aren't carrying the patch that prevents instruction upgrade. |
Thanks for looking into this. |
We're checking with them now to get a fixed build rolled out. |
CC @angloyna for updates (with thanks for patching upstream!) |
Anaconda llvmdev has been patched, the latest numba 0.50.1 should have it. Let me know if we're still seeing the issue. |
Great! I confirm that this fixed the issue. Thanks a lot! |
As a quick follow-up: I just noticed that, even though Is there any chance that the conda-forge package could be updated too? |
visible in the change log (https://github.com/numba/numba/blob/master/CHANGE_LOG).
to write one see http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports).
Bug report
When installing
numba
fromconda
and running the standard test on GPU, i.e.I get a compilation error:
On the other hand, when using
pip
:the tests are running without any issue.
When playing around (e.g. installing
numba
always frompip
, but installingllvmlite
either fromconda
orpip
), it seemed to me that the issue comes from the version ofllvmlite
downloaded fromconda
...More details
In the case of
conda
, the following packages were downloaded.On the other hand, in the case of
pip
, the following packages were downloaded:The tests are run on a GTX 1080 Ti with
cudatoolkit 9.0
installed fromconda
(Buildh13b8566_0
).The text was updated successfully, but these errors were encountered: